electricsheepasia/asia-displacement-indonesia-iom-dtm-from-api

Indonesia IOM Displacement Tracking Matrix (DTM) from API

Publisher: International Organization for Migration (IOM) · Source: HDX · License: hdx-other · Updated: 2026-05-04

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Abstract

This dataset comes from the International Organization for Migration (IOM)'s displacement tracking matrix (DTM) publicly accessible API. This API allows the humanitarian community, academia, media, government, and non-governmental organizations to utilize the data collected by DTM. The DTM API only provides non-sensitive IDP figures, aggregated at the country, Admin 1 (states, provinces, or equivalent), and Admin 2 (smaller subnational administrative areas) levels. For more detailed information, please see the country-specific DTM datasets on HDX.

Each row in this dataset represents subnational administrative unit observations. Temporal coverage is indicated by the reportingdate column(s). Geographic scope: IDN.

Curated into ML-ready Parquet format by Electric Sheep Africa.

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Dataset Characteristics

Domain	Conflict and security
Unit of observation	Subnational administrative unit observations
Rows (total)	45
Columns	23 (8 numeric, 14 categorical, 1 datetime)
Train split	36 rows
Test split	9 rows
Geographic scope	IDN
Publisher	International Organization for Migration (IOM)
HDX last updated	2026-05-04

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Variables

Geographic — admin0name (Indonesia), admin0pcode (IDN), admin1name (Nusa Tenggara Barat, Sulawesi Tengah, Bali), admin1pcode (IDN52, IDN72, IDN51), admin2name (Sigi, Donggala, Palu) and 7 others.

Temporal — reportingdate, monthreportingdate (range 9.0–12.0).

Demographic — numbermales (range 4.0–231513.0), numberfemales (range 4.0–200502.0).

Outcome / Measurement — roundnumber (range 1.0–2.0).

Identifier / Metadata — id (range 8238.0–146397.0), numpresentidpind (range 8.0–432015.0), esa_source, esa_processed.

Other — operation (Lombok Earthquake, Central Sulawesi Earthquake, Mt Agung Volcano), operationstatus.

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Quick Start

from datasets import load_dataset

ds    = load_dataset("electricsheepafrica/asia-displacement-indonesia-iom-dtm-from-api")
train = ds["train"].to_pandas()
test  = ds["test"].to_pandas()

print(train.shape)
train.head()

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Schema

Column	Type	Null %	Range / Sample Values
id	float64	17.8%	8238.0 – 146397.0 (mean 122278.5135)
operation	object	0.0%	Lombok Earthquake, Central Sulawesi Earthquake, Mt Agung Volcano
admin0name	object	0.0%	Indonesia
admin0pcode	object	0.0%	IDN
admin1name	object	17.8%	Nusa Tenggara Barat, Sulawesi Tengah, Bali
admin1pcode	object	17.8%	IDN52, IDN72, IDN51
admin2name	object	35.6%	Sigi, Donggala, Palu
admin2pcode	object	35.6%	IDN7210, IDN7205, IDN7271
adminlevel	int64	0.0%	0.0 – 2.0 (mean 1.4667)
numpresentidpind	int64	0.0%	8.0 – 432015.0 (mean 64681.6)
reportingdate	datetime64[ns]	0.0%
yearreportingdate	int64	0.0%	2016.0 – 2018.0 (mean 2017.5778)
monthreportingdate	int64	0.0%	9.0 – 12.0 (mean 10.4889)
roundnumber	int64	0.0%	1.0 – 2.0 (mean 1.3111)
displacementreason	object	0.0%	Natural disaster
numbermales	int64	0.0%	4.0 – 231513.0 (mean 33211.3333)
numberfemales	int64	0.0%	4.0 – 200502.0 (mean 31470.2667)
idporiginadmin1name	object	0.0%	Not available, Sulawesi Tengah, Nusa Tenggara Barat
idporiginadmin1pcode	object	0.0%	Not available, IDN72, IDN52
assessmenttype	object	0.0%
operationstatus	object	0.0%
esa_source	object	0.0%
esa_processed	object	0.0%

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Numeric Summary

Column	Min	Max	Mean	Median
id	8238.0	146397.0	122278.5135	145552.0
adminlevel	0.0	2.0	1.4667	2.0
numpresentidpind	8.0	432015.0	64681.6	24094.0
yearreportingdate	2016.0	2018.0	2017.5778	2018.0
monthreportingdate	9.0	12.0	10.4889	10.0
roundnumber	1.0	2.0	1.3111	1.0
numbermales	4.0	231513.0	33211.3333	12272.0
numberfemales	4.0	200502.0	31470.2667	11659.0

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Curation

Raw data was downloaded from HDX via the CKAN API and converted to Parquet. Column names were lowercased and standardised to snake_case. Common missing-value markers (N/A, null, none, -, unknown, no data, #N/A) were unified to NaN. 1 column(s) were cast from string to numeric or datetime based on parse-success rate (>85% threshold). The dataset was split 80/20 into train and test partitions using a fixed random seed (42) and saved as Snappy-compressed Parquet.

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Limitations

• Data originates from International Organization for Migration (IOM) and has not been independently validated by ESA.
• Automated cleaning cannot correct for misreported values, definitional inconsistencies, or sampling bias in the original collection.
• The following columns have >20% missing values and should be treated with caution in modelling: admin2name, admin2pcode.
• Refer to the original HDX dataset page for the publisher's own methodology notes and caveats.

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Citation

@dataset{hdx_asia_displacement_indonesia_iom_dtm_from_api,
  title     = {Indonesia IOM Displacement Tracking Matrix (DTM) from API},
  author    = {International Organization for Migration (IOM)},
  year      = {2026},
  url       = {https://data.humdata.org/dataset/idn-iom-dtm-from-api},
  note      = {Repackaged for machine learning by Electric Sheep Africa (https://huggingface.co/electricsheepafrica)}
}

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Electric Sheep Africa — Africa's ML dataset infrastructure. Lagos, Nigeria.